The Chief Financial Officer can enable her or his finance department play a more strategic role in company operations by adopting what I call profitability management. In the interest of time I’ve made this a very high-level description that’s intended to be just an introduction to the topic. Profitability management is a cross-functional effort. It integrates finance and sales to achieve an optimal balance of revenue and margin objectives. It’s an analytics-based approach designed achieve higher sales and fatter margins. Why should the CFO drive a profitability management initiative? The main reason is that it will improve the company’s profitability and competitiveness. The bottom line is the bottom line.
The application of artificial intelligence (AI) and machine learning (ML) to business computing will have a profound impact on white collar professions. This is especially true in heavily rules-based functions such as accounting. Companies recognize the transformational potential of AI and ML, but the progression and pace of the adoption of these technologies is unclear. Some applications of AI and ML are already in use but others are a decade or more away from replacing human tasks.
SYSPRO is a 35-year-old software vendor that focuses on selling enterprise resource planning (ERP) systems to midsize companies, particularly those in manufacturing and distribution. In manufacturing, SYSPRO supports make, configure and assemble, engineer to order, make to stock and job shop environments. The company attempts to differentiate itself through vertical specialization and its years of ongoing development, which can reduce the need for customization and cut the cost of initial and ongoing configurations to suit the needs of companies in these industries, thereby reducing the total cost of ownership. Worldwide its targeted verticals include electronics, food, machinery and equipment and medical devices; in the United States, SYSPRO adds automotive parts (original equipment and after-market) and energy. The company’s development efforts follow a design philosophy that balances its target customers’ need for software capabilities that are on par with larger enterprises with their resource constraints (chiefly limited financial resources and technical staffs). Its software can be deployed on-premises or in the cloud.
The topic of corporate governance received renewed attention recently after the publication of an open letter signed by 13 prominent business leaders, including Warren Buffett of Berkshire Hathaway and Jamie Dimon of JPMorgan Chase. The first principle the group advocated in the letter is the need for a truly independent board of directors. To achieve that aim, the letter suggests having the board meet regularly without the CEO and that the members of the board should have “active and direct engagement with executives below the CEO level.” From my perspective, translating this idea into reality would be helped by a change in the dynamics of most board meetings. I would eliminate the standard presentation of results and begin the meeting with questions and observations from the board members directed to company executives related to its financial and operating results and any other matters on the agenda. This could take place with or without the CEO.
The imperative to transform the finance department to function in a more strategic, forward-looking and action-oriented fashion has been a consistent theme of practitioners, consultants and business journalists for two decades. In all that time, however, most finance and accounting departments have not changed much. In our benchmark research on the Office of Finance, nine out of 10 participants said that it’s important or very important for finance departments totake a strategic role in running their company. The research also shows a significant gap between this objective and how well most departments perform. A large majority (83%) said they perform the core finance functions of accounting, fiscal control, transaction management, financial reporting and internal auditing, but only 41 percent said they play an active role in their company’s management. Even fewer (25%) have implemented a high degree of automation in their core finance functions and actively promote process and analytical excellence.
Topics: Big Data, Planning, Predictive Analytics, Social Media, Governance, GRC, Mobile Technology, Office of Finance, Budgeting, close, Continuous Accounting, Continuous Planning, end-to-end, Human Capital, Tax, Analytics, Business Analytics, Business Collaboration, CIO, Cloud Computing, In-memory, Uncategorized, Business Performance Management (BPM), CFO, CPQ, Financial Performance Management (FPM), Risk, CEO, Financial Performance Management, FPM
Last year Ventana Research released our Office of Finance benchmark research. One of the objectives of the project was to assess organizations’ progress in achieving “finance transformation.” This term denotes shifting the focus of CFOs and finance departments from transaction processing toward more strategic, higher-value functions. In the research nine out of 10 participants said that it’s important or very important for the department to take a more strategic role. This objective is both longstanding and elusive. It has been part of the conversation in financial management circles since the 1990s and has been a primary focus of my research practice since its inception 12 years ago. Yet our recent research shows that most finance organizations struggle with the basics and few companies are even close to achieving this desired transformation.
Topics: Big Data, Planning, Predictive Analytics, Governance, GRC, Office of Finance, Budgeting, close, end-to-end, Tax, Tax-Datawarehouse, Analytics, CIO, In-memory, Business Performance Management (BPM), CFO, CPQ, Financial Performance Management (FPM), Risk, CEO, Financial Performance Management, FPM
Our research consistently finds that data issues are a root cause of many problems encountered by modern corporations. One of the main causes of bad data is a lack of data stewardship – too often, nobody is responsible for taking care of data. Fixing inaccurate data is tedious, but creating IT environments that build quality into data is far from glamorous, so these sorts of projects are rarely demanded and funded. The magnitude of the problem grows with the company: Big companies have more data and bigger issues with it than midsize ones. But companies of all sizes ignore this at their peril: Data quality, which includes accuracy, timeliness, relevance and consistency, has a profound impact on the quality of work done, especially in analytics where the value of even brilliantly conceived models is degraded when the data that drives that model is inaccurate, inconsistent or not timely. That’s a key finding of our finance analytics benchmark research.
Topics: Big Data, Planning, Predictive Analytics, Governance, Office of Finance, Operational Performance Management (OPM), Budgeting, close, Finance Analytics, Tax, Analytics, Business Analytics, Business Intelligence, CIO, Governance, Risk & Compliance (GRC), In-memory, Business Performance Management (BPM), CFO, Financial Performance Management (FPM), Information Applications (IA), Risk, Workforce Performance Management (WPM), CEO, Financial Performance Management, FPM
Business computing has undergone a quiet revolution over the past two decades. As a result of having added, one-by-one, applications that automate all sorts of business processes, organizations now collect data from a wider and deeper array of sources than ever before. Advances in the tools for analyzing and reporting the data from such systems have made it possible to assess financial performance, process quality, operational status, risk and even governance and compliance in every aspect of a business. Against this background, however, our recently released benchmark research finds that finance organizations are slow to make use of the broader range of data and apply advanced analytics to it.
Topics: Big Data, Planning, Predictive Analytics, Governance, Office of Finance, Budgeting, close, Finance Analytics, Tax, Analytics, Business Analytics, Business Intelligence, CIO, Governance, Risk & Compliance (GRC), In-memory, Business Performance Management (BPM), CFO, Financial Performance Management (FPM), Information Management (IM), Risk, CEO, Financial Performance Management, FPM
A core objective of my research practice and agenda is to help the Office of Finance improve its performance by better utilizing information technology. As we kick off 2014, I see five initiatives that CFOs and controllers should adopt to improve their execution of core finance functions and free up time to concentrate on increasing their department’s strategic value. Finance organizations – especially those that need to improve performance – usually find it difficult to find the resources to invest in increasing their strategic value. However, any of the first three initiatives mentioned below will enable them to operate more efficiently as well as improve performance. These initiatives have been central to my focus for the past decade. The final two are relatively new and reflect the evolution of technology to enable finance departments to deliver better results. Every finance organization should adopt at least one of these five as a priority this year.
Topics: Big Data, Performance Management, Planning, Predictive Analytics, Office of Finance, Budgeting, close, dashboard, PRO, Tax, Analytics, Business Analytics, Business Collaboration, CIO, In-memory, Business Performance Management (BPM), CFO, Customer Performance Management (CPM), Financial Performance Management (FPM), Sales Performance Management (SPM), Supply Chain, Supply Chain Performance Management (SCPM), CEO, demand management, Financial Performance Management, FPM, S&OP
Senior finance executives and finance organizations that want to improve their performance must recognize that technology is a key tool for doing high-quality work. To test this premise, imagine how smoothly your company would operate if all of its finance and administrative software and hardware were 25 years old. In almost all cases the company wouldn’t be able to compete at all or would be at a substantial disadvantage. Having the latest technology isn’t always necessary, but even though software doesn’t wear out in a physical sense, it has a useful life span, at the end of which it needs replacement. As an example, late in 2013 a major U.K. bank experienced two system-wide failures in rapid succession caused by its decades-old mainframe systems; these breakdowns followed a similarly costly failure in 2012. For years the cost and risk of replacing these legacy systems kept management from taking the plunge. What they didn’t consider were the cost and risk associated with keeping the existing systems going. Our new research agenda for the Office of Finance attempts to find a balance between the leading edge and the mainstream that will help businesses find practical solutions.
Topics: Big Data, Planning, Predictive Analytics, Governance, GRC, Office of Finance, Budgeting, close, Tax, Analytics, Business Analytics, Business Collaboration, CIO, Cloud Computing, Governance, Risk & Compliance (GRC), In-memory, Business Performance Management (BPM), CFO, Financial Performance Management (FPM), Risk, CEO, Financial Performance Management, FPM